analytical

Results 101 - 125 of 182Sort Results By: Published Date | Title | Company Name
By: SAP     Published Date: May 14, 2008
As information flows more freely in the business world, decisions need to be made quicker and based on sturdier data. The analytical capability that was once reserved for large enterprises has now permeated the world of Small to Medium Businesses (SMBs) and provided a solid foundation of visibility into what really matters to these companies.
Tags : business intelligence, sap
     SAP
By: SAP     Published Date: Jun 22, 2009
Find out how to meet the challenges facing your midsize company and benefit from the road map that takes you through the process of deploying a BI solution, enabling you to start small and then build incrementally on your initial success to make fact-based and BI-driven decision making pervasive in your company.
Tags : sap, midsize, business intelligence, economy, soa, infrastructure, tco, total cost of ownership, kpi, key performance indicators, tco, total cost of ownership, sap application, sap netweaver bw, online analytical processing, olap, enterprise applications, data management
     SAP
By: SAP     Published Date: Mar 24, 2011
In spite of the growth of virtual business activities performed via the World Wide Web, every business transaction or operation is performed at a physical place. And as handheld GPS devices drive a growing awareness of the concept of "location," people are increasingly looking for operational efficiencies, revenue growth, or more effective management as a result of geographic data services and location-based intelligence. In this white paper, David Loshin, president of Knowledge Integrity, Inc., introduces geographic data services (such as geocoding and proximity matching) and discusses how they are employed in both operational and analytical business applications. The paper also reviews analytical techniques applied across many types of organizations and examines a number of industry-specific usage scenarios.
Tags : location-based bi, business value, geographic enhancement
     SAP
By: IBM     Published Date: Apr 15, 2016
This report examines the current state of self-service analytics across all industries and company sizes. It also highlights the technology decisions and analytical performance of organizations that reported high levels of self-service in their analytical use base.
Tags : ibm, analytics, self-service analytics, business analytics, analytical performance, business technology
     IBM
By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
Tags : cylance, endpoint, protection, cyber, security
     BlackBerry Cylance
By: SAS     Published Date: Mar 06, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Rick Styll, Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
Better health care at lower costs, for everyone – how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs. To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isn’t useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
Tags : 
     SAS
By: SAS     Published Date: Mar 06, 2018
Enhanced regulatory pressure requires continuous evaluation of your bank’s risks. To meet these demands, the AML industry has turned to analytical/statistical methodologies to: • Improve monitoring programs. • Reduce false-positive alerts. • Increase monitoring coverage. • Reduce the rapidly escalating financial cost of maintaining AML programs.
Tags : 
     SAS
By: SPSS Inc.     Published Date: Mar 31, 2009
In an intensely competitive marketplace, knowledge is power. The more an airline can learn about what its customers like and don't like about its offerings, the more effective it can be at building customer loyalty and maximizing its revenues.
Tags : spss, american airlines, customer loyalty, maximize revenues, roi, specialized market intelligence, production of information, increased productivity, best practices, statistical analysis, analytical methods, statistics, crm, consumer research, data trends, program macros, research, data management, decision-making
     SPSS Inc.
By: ClickSquared     Published Date: Jul 07, 2009
Learn how by achieving a 360-degree view of customer interests, markets can achieve unprecedented levels of: *Personalization, *Timing, *Relevance, *Cost-efficiency, *Accountability
Tags : clicksquared, interactive relationship marketing, lifecycle, irm, web 2.0, granular personalization, analytical marketing models, database marketing, personalization, timing, relevance, click squared, choreograph online, real-time, offline, episodic, cost dynamics, rapid deployment, domain expertise, personalization
     ClickSquared
By: SAS     Published Date: Aug 27, 2010
Forget spreadsheets. Organizations that are winning in this down economy are using automated analytical tools to take a more scientific approach to decision making through observation, experimentation and measurement to improve their business processes.
Tags : sas, analytics software, business intelligence, data mining, automated analytical tools, computerworld
     SAS
By: SAS     Published Date: Jan 31, 2011
Companies are becoming more analytically mature and are developing greater analytical capabilities. Many companies are also creating a context for analytics, with analytical cultures and processes. When companies compete based on analytics, analytics is having a positive bottom-line impact.
Tags : sas, prescriptive analytics, harvard business
     SAS
By: SAS     Published Date: Mar 01, 2012
This Aberdeen Research Brief draws on three discrete data sets in order to understand the tangible business impact of effective analytics in the SMB market.
Tags : it management
     SAS
By: SAS     Published Date: Mar 01, 2012
Michael Lock of the Aberdeen Group focuses on the effect of end user adoption, pervasiveness, and engagement of business intelligence on business performance. Learn the necessary steps to establishing self-service business analytics.
Tags : it management
     SAS
By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, analytics, analytical study, visualization deployment, deployment, institute for analytics
     SAS
By: SAS     Published Date: Mar 14, 2014
Stop to think about how - and how often - your business interacts with customers. Most organizations believe that only a small fraction of data on interactions generated are effectively put to use. Why is that? Check out this whitepaper to see.
Tags : sas, voc, voice of customer, visual text analytics, best practices, customer voice, sound of sentiment, text data, customer data, analytical processing, structured data, enriched dataset, reporting, automatic generation, text analytics, text mining, data exploration
     SAS
By: Avomeen Analysis Services     Published Date: Nov 10, 2011
This paper explains the background and nature of this area of science and explores the role that experts in this area can play in resolving a complex patent case.
Tags : avomeen, whitepaper, technology, chemistry, science, patent, research
     Avomeen Analysis Services
By: IBM     Published Date: Sep 03, 2013
As renowned cost accounting professor Chuck Horngren notes, corporate finance executives can deliver the greatest value by establishing the sturdiest foundation of timely, reliable and relevant facts. This analytical platform ultimately enables their organization’s most important measures – including revenue growth, return on invested capital and profit growth as measured by EBITDA – to outpace the financial outcomes of the competition. The goal is to support speed and effectiveness in decision-making.
Tags : extending, planning, forecasting, analytics, ibm, financial analytics, support speed, knowledge management, enterprise applications, business technology
     IBM
By: IBM     Published Date: Mar 12, 2014
Businesses that build strong analytically oriented teams, adopt new ways to use information and take advantage of the power of the cloud can jump ahead of their competition.
Tags : ibm, business analytics, cloud, cloud analytics, cloud platform, data, trends, ibm smartcloud, ibm smarter analytics, business technology
     IBM
By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
Tags : ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions, it management, data management, data center
     IBM
By: IBM     Published Date: Sep 30, 2015
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it.
Tags : cloud, engagement, customer retention, digital channel, data
     IBM
By: IBM     Published Date: Jan 20, 2016
This report provides practical guidance on the critical 10 steps for the first 100 days of setting up an analytically enabled HR function.
Tags : ibm, workforce analytics, enterprise applications, human resource technology, business technology
     IBM
Start   Previous    1 2 3 4 5 6 7 8    Next    End
Search White Papers      

Add White Papers

Get your white papers featured in the Energy Efficiency Markets White Paper Library contact: Kevin@EnergyEfficiencyMarkets.com